Download the slides here>> Informatica’s MDM and 360 Applications offer an all-in-one approach to master data management. Built on Informatica’s Intelligent Data Management Cloud, a cloud-native platform and modern microservices-based architecture powered by AI, Informatica helps organizations address key business initiatives around customer experiences, digital commerce, supply chain optimization, finance data management, and more. […]
Profisee Demo: Profisee MDM – the Foundation for Your Data Fabric
Download the slides here>> The goal is to be more data-driven, but data pulled from multiple sources is often duplicated, inconsistent and incomplete presenting a significant barrier to use. Profisee MDM (Master Data Management) overcomes data silos and builds a trusted data foundation across the data estate – enabling data-centric initiatives from individual analytics […]
Semarchy Demo: Improving ROI and Collaboration with Semarchy’s Unified Data Platform
Download the slides here>> With Semarchy’s unified data platform, organizations can rapidly generate business value from their data. Our unified platform enables organizations of any size, to quickly discover, govern, manage, integrate, and report critical information scattered across applications for better business insights. Hear how 80% of our clients measure ROI in under 10 […]
CluedIn Demo: Augmented Data Management and OpenAI – Accelerate Time-to-insight with CluedIn
Download the slides here>> CluedIn is the Graph-based, Azure-native Master Data Management (MDM) platform that delivers data that is ready for insight in as little as six weeks. Join this session to see how CluedIn uses Augmented Data Management and AI techniques to eliminate the hardest parts of MDM – such as upfront modeling […]
Collibra Demo: Data Catalog & Lineage: Enable Access to Trusted Data and Insights
Download the slides here>> Finding, understanding, and accessing an organization’s data too often results in confusion and wasted time. The solution for enterprises to understand their data in order to make intelligent business decisions is a data catalog. Join this demo to learn how to:
Orion Demo: Maturing Your Organization through Data Intelligence
Download the slides here>> A data catalog is a good first step to understanding and governing your data. But there’s more to do. A self-defined data fabric weaves your catalog with a dynamic glossary, automatic metadata discovery, end-to-end data lineage, impact and root cause analysis, and machine learning assisted description of technical data assets […]
Alation Demo: How AI and ML Transform Human Behavior into a Smarter Data Intelligence Platform
Download the slides here>> A data catalog is a good first step to understanding and governing your data. But there’s more to do. A self-defined data fabric weaves your catalog with a dynamic glossary, automatic metadata discovery, end-to-end data lineage, impact and root cause analysis, and machine learning assisted description of technical data assets […]
Denodo Demo: The Power of a Data Catalog that is Integrated with the Data Access Layer
Download the slides here>> Data is an important corporate asset and data needs to be utilized to the fullest extent to further corporate business objectives. But more often than not, corporate data is a challenge to maintain because the underlying data infrastructure is constantly changing. A data catalog is an essential component to enable […]
Precisely Demo: Empowering Business & IT Teams: Modern Data Catalog Requirements
Download the slides here>> As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes. In this demo, you will hear how the Precisely Data Integrity […]
Denodo Demo: Future-proof Data Management Through Logical Architectures: Data Fabric and Data Mesh
Download the slides here>> Data fabric and data mesh are two concepts frequently mentioned in conversations surrounding enterprise data management. Over the past two decades, enterprises have managed data by oscillating through cycles of centralization and decentralization. Despite the abundance of options, the conundrum remains — businesses want data to be in one place, […]